3 ms·
Probably not very helpful at the scale most people would run this. Even brute forcing the search on CPU gives results in a few ms on small datasets.
by Guillaume86 4y ago
Probably not very helpful at the scale most people would run this. Even brute forcing the search on CPU gives results in a few ms on small datasets.
- kordlessagain 4y agoUsing something like Weaviate, which can be started in Docker with a one-liner, will give the ability to move away or toward dense vectors by concept. While doing dot product with manual code is fairly easy, using Weaviate to do the lifting (for embeddings as well) makes things super simple. https://github.com/FeatureBaseDB/slothbot/blob/slothbot-work/scripts/docker-compose.yml https://github.com/FeatureBaseDB/slothbot/blob/slothbot-work...
- grogenaut 4y agothat means you need docker running and the dependencies explode if you take this approach. I really like the tight dependency tree.